Forget Somethingv0.1.0

In a customer service AI assistant that stores user interaction history, implement time-based forgetting to automatically delete records older than 90 days. This prevents memory bloat and ensures compliance with data retention policies.

A personal AI agent that learns user preferences over time can use relevance-based forgetting to remove sensitive or outdated information (e.g., old addresses, expired credit card details). This maintains user privacy and reduces liability.

For an AI that assists with project management, context-based forgetting can filter out memories unrelated to the current project, enabling the AI to provide more relevant suggestions and reduce cognitive load.

An AI system that operates continuously for months can use frequency-based forgetting to remove rarely accessed memories, improving query response times and reducing storage costs.

Healthcare AI systems must comply with regulations like HIPAA. Explicit forgetting allows users or administrators to delete specific patient records on request, ensuring data privacy and legal compliance.

Offer a base AI assistant subscription, with a premium add-on for advanced forgetting mechanisms (e.g., configurable policies, audit logs). Revenue comes from monthly subscription fees plus add-on charges.

Provide consulting services to enterprises that need custom forgetting strategies tailored to their specific data policies and regulatory requirements. Revenue is generated through project-based consulting fees.

Charge based on the number of memory entries stored or processed, with automatic forgetting to keep storage within plan limits. Revenue scales with usage volume.